⚡️ Libraries for building performant and instant search and recommend experiences with Algolia. Compatible with JavaScript, TypeScript, React and Vue.

[UserScript] Bilibili 自定义首页

专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.

🪂 A Github Action to deploy the Jekyll site conveniently for GitHub Pages.

基于JStarCraft RNS引擎,Spring Boot框架和公共数据集搭建的千人千面演示项目. 系统会根据用户的行为记录,自动调整用户的推荐内容和搜索内容.使用者可以通过该项目了解*推荐系统*与*搜索系统*的运作流程. 涵盖了个性化推荐与个性化搜索2个部分.

pure pytorch recommend system on scala3

How to survive as a developer for Salesforce Marketing Cloud

A Go web framework for quickly building recommendation online services based on JSON configuration.

Research on Collaborative Filtering Algorithms

推荐算法、相似度算法、布隆过滤器、均值算法、一致性Hash、数据结构、leetcode练习

A UI library for Algolia Recommend, available for Vanilla JavaScript and React.

Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF

Algolia DevCon 2022 - Algolia powered storefront demo in React / Next.js

A list of my favorite findings in the software industry. 🕶️

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

A library class for WordPress plugins to tweak the results of the WordPress Plugins API with custom plugin recommendations.

| The Best Todolist Ever Made |

Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions🔍 using advanced algorithms, ensuring clients find the right legal expertise. 💼

Recommend iOS SDK

基于协同过滤的电影推荐系统